Sr. Data Engineer

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Written by AI from the job title and company, not by RedRiver Systems, LLC, so some details may not match this job. The employer's own page has the real description.

Job Overview

As a Senior Data Engineer at RedRiver Systems, LLC, you will play a pivotal role in designing and implementing robust data pipelines and architecture to support our data-driven initiatives. You will collaborate closely with cross-functional teams to gather requirements, develop data models, and facilitate high-quality data access for analytical and operational purposes. This position requires a deep understanding of database technologies, programming, and the overall data lifecycle to optimize processes and support business goals effectively.

Job Responsibilities

• Design, build, and maintain scalable data pipelines to prepare and transform data for analysis.
• Collaborate with data analysts and data scientists to understand data requirements and provide data access solutions.
• Monitor and optimize data workflows and databases for efficiency and performance.
• Develop and implement data quality checks and solutions to ensure accuracy and reliability of data.
• Work with cloud-based data solutions and on-premise databases, ensuring seamless integration and high availability.
• Document data architectures, pipelines, and processes for reference and future enhancements.
• Stay updated on new tools and techniques in data engineering and provide thought leadership to the team.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• At least 5 years of experience in data engineering or related roles.
• Strong proficiency in programming languages such as Python, Java, or Scala.
• Extensive experience with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Hands-on experience with data warehousing solutions (e.g., Redshift, Snowflake).
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Solid understanding of ETL tools and frameworks (e.g., Apache Airflow, Talend).
• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.

Technologies & Tools

In this position, the Senior Data Engineer will work with a range of technologies and tools designed to streamline data manipulation and analysis. Common technologies include cloud services such as Amazon Web Services (AWS) and Google Cloud Platform (GCP), databases like PostgreSQL and MongoDB, as well as tools for data integration such as Apache Kafka and Talend. Familiarity with containerization tools like Docker and orchestration tools such as Kubernetes may also be beneficial.

Ideal Candidates

Ideal candidates for the Senior Data Engineer role will possess strong analytical thinking and problem-solving skills, enabling them to tackle complex data challenges effectively. They should be highly detail-oriented and able to manage multiple priorities while maintaining a commitment to high-quality outcomes. Exceptional communication and collaboration abilities are essential, as working in a team-oriented environment is fundamental to success in this role. A passion for continuous improvement and innovation in data engineering practices will distinguish the right candidate.